Appraisal of indoor environment quality (IEQ) in nearly Zero energy Building (nZEB): A literature review DOI
Zhicheng Wu, Yue Jin, Long Huang

и другие.

Science and Technology for the Built Environment, Год журнала: 2023, Номер 29(3), С. 251 - 267

Опубликована: Фев. 3, 2023

Nearly zero energy buildings (nZEB) are considered a key measure to reduce consumption in buildings. However, there is growing evidence that nZEB design strategies may impact indoor environmental quality (IEQ). Most of the current research on has focused efficiency and cost-effectiveness nZEB, with less IEQ nZEB. This literature reviewed 25 case studies assessment determine actual performance IEQ. The results showed all four parameters have yet be included scope assessment. In addition physical parameter measurements criteria, subjective should primary determinant Moreover, analysis shows overheating, poor air quality, thermal discomfort, Sick Building Syndrome (SBS) common risk factors reported. At same time, building envelope, HVAC system, control system main contributing increase factors. review will provide practical reference values recommendations for professionals future studies.

Язык: Английский

Quantifying the dynamic characteristics of indoor air pollution using real-time sensors: Current status and future implication DOI Creative Commons
Jinze Wang, Wei Du,

Yali Lei

и другие.

Environment International, Год журнала: 2023, Номер 175, С. 107934 - 107934

Опубликована: Апрель 18, 2023

People generally spend most of their time indoors, making indoor air quality be great significance to human health. Large spatiotemporal heterogeneity pollution can hardly captured by conventional filter-based monitoring but real-time monitoring. Real-time is conducive change assessment mode from static and sparse analysis dynamic massive analysis, has made remarkable strides in evaluation. In this review, the state art, strengths, challenges, further development sensors used evaluation are focused on. Researches using for have increased rapidly since 2018, mainly conducted China USA, with frequently investigated pollutants PM2.5. addition high resolution, prominent advantages 3-dimensional monitoring, peak source identification, short-term health effect Huge amounts data also facilitate modeling prediction pollution. However, challenges still remain extensive deployment including selection, performance, stability, as well calibration sensors. future, long-term low price, energy consumption welcomed. Furthermore, more target expected detected simultaneously

Язык: Английский

Процитировано

39

Review of synthetic polymer-based thermal insulation materials in construction and building DOI

Shuhan Cai,

Xiuping Deng,

Jingzi Beiyuan

и другие.

Journal of Building Engineering, Год журнала: 2024, Номер 97, С. 110846 - 110846

Опубликована: Сен. 30, 2024

Язык: Английский

Процитировано

14

Development of a Framework to Support Whole-Life-Cycle Net-Zero-Carbon Buildings through Integration of Building Information Modelling and Digital Twins DOI Creative Commons
Kaining Shen, Lan Ding, Cynthia Wang

и другие.

Buildings, Год журнала: 2022, Номер 12(10), С. 1747 - 1747

Опубликована: Окт. 20, 2022

Decision-making on whole-life-cycle net-zero-carbon buildings is critical for addressing carbon emission and environmental problems. However, there a lack of data integration framework an open international standard approach integrating key decision variables to support scientific computations decision-making buildings. Building information modelling (BIM) representing building information. Digital Twin (DT) can capture monitor real-time conditions facilitate operation. Integrating acquired by DT with BIM has considerable potential enable based computational representation throughout the whole-building life cycle process. This paper aims develop novel conceptual that integrates The developed using ontology-based method, define entities, properties, relationships, captured via DT. research makes significant contributions paves way future automated system

Язык: Английский

Процитировано

37

Effects of Al2O3 and TiO2 nanoparticles in order to reduce the energy demand in the conventional buildings by integrating the solar collectors and phase change materials DOI
Jie Zhang, S. Mohammad Sajadi, Chen Yang

и другие.

Sustainable Energy Technologies and Assessments, Год журнала: 2022, Номер 52, С. 102114 - 102114

Опубликована: Март 1, 2022

Язык: Английский

Процитировано

34

Assessing and mitigating overheating risk in existing Canadian school buildings under extreme current and future climates DOI
Fuad Baba, Hua Ge, Liangzhu Wang

и другие.

Energy and Buildings, Год журнала: 2022, Номер 279, С. 112710 - 112710

Опубликована: Дек. 9, 2022

Язык: Английский

Процитировано

34

Plus energy building: Operational definition and assessment DOI Creative Commons
Abed Al-Waheed Hawila,

Roberta Pernetti,

Cristian Pozza

и другие.

Energy and Buildings, Год журнала: 2022, Номер 265, С. 112069 - 112069

Опубликована: Апрель 2, 2022

Considering the amount of existing buildings, decarbonizing building stock requires new buildings designed to reach highest performance. The nearly-Zero Energy Buildings (nZEB) standard needs be overtaken by Plus (PEB) that presents potential produce more energy than consumption over a specific period. Several studies investigated achieve plus balance, however, there is still lack comprehensive and shared framework for designing assessing performance PEB. To cope with this issue, authors identified series key aspects stated in consistent PEB, particular: i) balance contributions, ii) physical boundaries, iii) time span assessment, iv) metrics evaluating PEBs, v) approach load matching grid interaction, vi) Indoor Environmental Quality user satisfaction as added values performed review identifying 82 papers dealing PEB deducing how have been addressed. literature overview provides background proposing an definition introduce operational assessment focused on providing main statements focusing evaluation both during design operative phase.

Язык: Английский

Процитировано

33

Integrating Machine Learning and Genetic Algorithms to Optimize Building Energy and Thermal Efficiency Under Historical and Future Climate Scenarios DOI Open Access
Alireza Karimi, M. Mohajerani, Niloufar Alinasab

и другие.

Sustainability, Год журнала: 2024, Номер 16(21), С. 9324 - 9324

Опубликована: Окт. 27, 2024

As the global energy demand rises and climate change creates more challenges, optimizing performance of non-residential buildings becomes essential. Traditional simulation-based optimization methods often fall short due to computational inefficiency their time-consuming nature, limiting practical application. This study introduces a new framework that integrates Bayesian optimization, XGBoost algorithms, multi-objective genetic algorithms (GA) enhance building metrics—total (TE), indoor overheating degree (IOD), predicted percentage dissatisfied (PPD)—for historical (2020), mid-future (2050), future (2080) scenarios. The employs IOD as key indicator (KPI) optimize design operation. While traditional indices such mean vote (PMV) thermal sensation (TSV) are widely used, they fail capture individual comfort variations dynamic nature conditions. addresses these gaps by providing comprehensive objective measure discomfort, quantifying both frequency severity events. Alongside IOD, use intensity (EUI) index is used assess consumption per unit area, critical insights into efficiency. integration with EUI PPD enhances overall assessment performance, creating precise holistic framework. combination ensures efficiency, comfort, occupant well-being optimized in tandem. By addressing significant gap existing methodologies, current approach combines advanced techniques modern simulation tools EnergyPlus, resulting efficient accurate model performance. reduces time Utilizing SHAP (SHapley Additive Explanations) analysis, this research identified factors influence metrics. Specifically, window-to-wall ratio (WWR) impacts TE increasing through higher heat gain cooling demand. Outdoor temperature (Tout) has complex effect on depending seasonal conditions, while (Tin) minor impact TE. For PPD, Tout major negative factor, indicating improved natural ventilation can reduce whereas Tin larger open areas exacerbate it. Regarding WWR significantly affect internal gains, windows temperatures contributing increased reduced comfort. also positive its varying over time. demonstrates conditions evolve, effects become pronounced, highlighting need for effective management envelopes HVAC systems.

Язык: Английский

Процитировано

8

Residential buildings integrated with SPVP and RCL towards energy saving DOI

Fang’ai Chi,

Wu Yun

Renewable and Sustainable Energy Reviews, Год журнала: 2025, Номер 212, С. 115370 - 115370

Опубликована: Янв. 20, 2025

Язык: Английский

Процитировано

1

Controllable fabrication of ZnO nanorods@cellulose membrane with self-cleaning and passive radiative cooling properties for building energy-saving applications DOI

Bencheng Zhao,

Xuejie Yue, Qiong Tian

и другие.

Cellulose, Год журнала: 2022, Номер 29(3), С. 1981 - 1992

Опубликована: Янв. 17, 2022

Язык: Английский

Процитировано

23

Study on the performance of an ultra-low energy building in the Qinghai-Tibet Plateau of China DOI
Qiang Guo,

fuxi wang,

Yi Gao

и другие.

Journal of Building Engineering, Год журнала: 2023, Номер 70, С. 106345 - 106345

Опубликована: Март 23, 2023

Язык: Английский

Процитировано

12